降雪天气下高速公路交通流状态划分

摘要

为了给降雪天气下高速公路交通管理者提供合理、准确的交通状态信息,提出了一种可用于高速公路降雪天气下交通状态划分方法.考虑到高速公路交通状态分类存在模糊性的特点,以速度、密度作为样本数据的特征属性,提出了改进的模糊C均值聚类(FCM)的交通状态分类方法.针对传统算法要求事先确定交通状态划分的数目c存在的缺陷,利用自适应函数求得聚类数c.以乌鲁木齐市机场高速公路为实例进行分析,获得降雪天气下交通流状态的划分结果.%To provide reasonable and accurate traffic condition information for highway traffic managers under snowfall weather, a classified method for traffic status expressway is proposed.Taking into account the fuzziness of expressway traffic classification state, speed and density are regarded as characteristic property of sample data, the improved fuzzy c-means clustering (FCM) method of traffic state classification is set up.Due to the defects that the traditional algorithm require a pre-determined the number c of traffic state division , the cluster number c is obtained by forming adaptive function.Urumqi airport expressway is used as an example to gain the divided results of traffic flow state under snowy weather.